by TwillAI · MCP Server · ★ 160
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
AgentBox Run coding agents inside sandboxes. One API, any provider. Unlike wrappers that shell out to CLIs in non-interactive mode (e.g. ), AgentBox launches each agent as a server process inside the sandbox and communicates over WebSocket or HTTP. This preserves the full interactive capabilities of each agent — approval flows, tool-use control, streaming events. Providers are mix-and-match: Agents — , , Sandboxes — , , , , Swap either one and your app code stays the same. Install bash npm instal
| Stars | 160 |
| Forks | 15 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 60.394/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-19 |
| Created | 2025-05-15 |
| Platforms | mcp, node |
| Est. Tokens | ~16k |
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agentbox-sdk is The open-source TypeScript SDK for running AI coding agents in sandboxes. One unified API — swap agents and infrastructure providers without changing your code.. It is categorized as a MCP Server with 160 GitHub stars.
agentbox-sdk is primarily written in TypeScript. It covers topics such as agent, agents, llm.
You can find installation instructions and usage details in the agentbox-sdk GitHub repository at github.com/TwillAI/agentbox-sdk. The project has 160 stars and 15 forks, indicating an active community.
The top alternatives to agentbox-sdk on Agent Skills Hub include oreilly-ai-agents, wren-engine, wcgw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.